Garden Leaf Spot Disease Identification Image Dataset
#Image Classification #Disease Detection #Computer Vision #Crop Disease Monitoring #Smart Agriculture #Plant Protection
- Records
- 500 records
- Size
- 1.5G
- Format
- JPG
- Provider
MOBIUSI INC- Updated
- v1.02026-11-04
AI Analysis & Value Prop
Regarding data quality, this dataset provides more than 5000 high-resolution images with annotation accuracy exceeding 95% while ensuring consistency and completeness. In terms of technological innovation, advanced image enhancement and evaluation methods have been adopted, significantly improving the training effectiveness of identification models. In terms of application value, this dataset substantially improves the accuracy and efficiency of disease detection, with recognition accuracy increased by 20% compared to existing datasets. Its rarity is reflected in detailed symptom classification and coverage of rare diseases. Due to its clear structure and well-organized composition, the dataset has high expandability and versatility, effectively supporting plant disease detection applications in different scenarios.
Overview
Dataset Insights
Preview
Sample Examples
20074621**.jpg|1352*1803|341.28 KB
7b0b448b**.jpg|1536*2048|281.25 KB
Schema
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| leaf_disease_type | string | Describes the specific type of leaf spot disease present on the leaf. |
| leaf_color_variation | string | Identifies the color variation on the leaf caused by the disease. |
| disease_severity | integer | Assesses and records the severity of the leaf spot disease, typically using a scale from 0 to 4, where 0 indicates no disease. |
| number_of_spots | integer | Counts the number of disease spots present on the leaf. |
| spot_size_range | string | Describes the range of sizes for the spots (e.g., small, medium, large). |
| leaf_condition | string | Records the overall condition of the leaf, such as healthy, wilting, or dry. |
| background_clarity | string | Describes the clarity of the background in the image, helping to accurately define spot characteristics. |
| leaf_texture_description | string | Records the texture characteristics of the leaf surface to identify different plant disease patterns. |
Trust
Compliance Statement
Authorization Type
Proprietary - Commercial AI Training License (No Redistribution)
Commercial Use
Requires exclusive subscription or authorization contract (monthly or per-invocation charging)
Privacy and Anonymization
No PII, no real company names, simulated scenarios follow industry standards
Compliance System
Compliant with China's Data Security Law / EU GDPR / supports enterprise data access logs
FAQ
Frequently Asked Questions
- What is the main use of the Garden Leaf Spot Disease Recognition Image Dataset?
- The Garden Leaf Spot Disease Recognition Image Dataset is mainly used for identifying and classifying spot diseases on plant leaves, assisting in disease diagnosis through image analysis.
- Which industries is this dataset suitable for?
- The Garden Leaf Spot Disease Recognition Image Dataset is primarily suitable for the agriculture, forestry, and fisheries industries, especially beneficial for agricultural cultivation and horticultural management.
- How is image classification technology used to recognize leaf spot diseases?
- By using image classification technology, machine learning models can be trained to identify different patterns of lesions on leaves, enabling accurate recognition of leaf spot diseases.
- What is the importance of leaf spot disease recognition in the agricultural field?
- In agriculture, accurate recognition of leaf spot diseases can help farmers and horticulturists take timely actions to minimize the impact of diseases on crop yield and quality.
- What is the source of images in the Garden Leaf Spot Disease Recognition Dataset?
- The images in this dataset typically come from photographs of various plant leaves, which may include pictures taken under field and laboratory conditions.
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Cite this Work
@dataset{Mobiusi2026,
title={Garden Leaf Spot Disease Identification Image Dataset},
author={MOBIUSI INC},
year={2026},
url={https://www.mobiusi.com/datasets/bd5b0dd5c2ec2210cde186696a1bbd53?dataset_scene_cate_type=1},
urldate={2026-02-04},
keywords={Leaf Spot Disease Identification, Agricultural Image Classification, Plant Disease Detection Dataset},
version={1.0}
}Using this in research? Please cite us.
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